{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%run dataset.py\n",
    "%matplotlib inline\n",
    "\n",
    "from torch.utils.data import DataLoader\n",
    "import torchvision\n",
    "from torchvision import transforms\n",
    "import numpy as np\n",
    "from PIL import ImageStat\n",
    "import matplotlib.pyplot as plt\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.50576189\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "dataset = CXRDataset('dataset', dataset_type='train')\n",
    "\n",
    "mean = np.zeros(3)\n",
    "for i in range(len(dataset)):\n",
    "    image = dataset[i][0]\n",
    "    stat = ImageStat.Stat(image)\n",
    "    mean += np.array(stat.mean)\n",
    "    print('\\r{:.2f}%'.format(100*i/len(dataset)), end='\\r')\n",
    "mean /= len(dataset)*255\n",
    "print(mean) # 0.50576189\n",
    "'''\n",
    "print(0.50576189)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_tensor_image(inp, title=None):\n",
    "    \"\"\"Imshow for Tensor.\"\"\"\n",
    "    inp = inp.numpy().transpose((1, 2, 0))\n",
    "    mean = np.array([0.50576189, 0.50576189, 0.50576189])\n",
    "    inp = inp + mean\n",
    "    inp = np.clip(inp, 0, 1)\n",
    "    plt.imshow(inp)\n",
    "    if title is not None:\n",
    "        plt.title(title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trans = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize([0.50576189, 0.50576189, 0.50576189], [1., 1., 1.])\n",
    "])\n",
    "dataset = CXRDataset('dataset', dataset_type='train', transform=trans)\n",
    "dataloader = DataLoader(dataset, batch_size=2, shuffle=True, num_workers=4)\n",
    "images, labels, names, bboxes, bbox_valids = next(iter(dataloader))\n",
    "label_string = []\n",
    "for label in labels:\n",
    "    t = ''\n",
    "    for i, d in enumerate(label):\n",
    "        if d == 1: t += dataset.classes[i]+'|'\n",
    "    if t == '': t = 'no finding'\n",
    "    else: t = t[:-1]\n",
    "    label_string.append(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name: 00000631_008.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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dtpdH1et1Kx7L5XIaDAZaWloyTkNSoj6C9oVSspOZ53uYEzginoV6Fb8G9EVt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EKE9r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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2c0830400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_tensor_image(images[0], title=label_string[0])\n",
    "print('name: '+names[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name: 00002198_000.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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rXC7r4uJCo9EoJlB6P5i8i06nY6AAgKDNoL8kE7+gtNIyxA2rweINBoOYjrC1\ntfWWnA5+2E7PhL24uDDwQ0vo9/sG4ugfs9nMHjCE+0g4GKEWVgL9J3eE8oXeJQTsWPSkyHv3xguk\nrVbLLPhgMIhpMwA4LCmVWpZb3N/fV6fT0cnJibEMwNULnoy1j5Bh9U9PT7W/v69XXnlF7XZbx8fH\nb4nusIhLpZK51N5oMQ98XhDA5/OKAGf+9vO/Vqvp9PQ05q7zGQwFesmLL76oi4sL9ft93bt370pr\n81qDh1+o4/FYjUZDZ2dnhsR+stG5+Xw+VlqfzmaB06mwlHK5rCiKtLu7q1wup4uLC33sYx/T17/+\ndR0dHVnUQVo9hYzr8qFOLLS0Uum3t7dVqVSM4WDhWRhU5CqVSspkMrbfg2v0QhkLqN/vx8RMHolA\nFIrJiBsyGo2UzWatVB1WHYHRP3AKq8lkZ98F+Rwk4dEPpKhXq1VJS6ZINiSUmv/1er1YaLBSqWg4\nHFoxHS/kcR29Xs/2fbCAS6WS7RylX2AB/r5SqZR2d3ctGQ3XEA0JozQajUyMff3112NRKcYa8GYe\nca3erWi1WtrZ2VGlUlGtVtOrr75qczOEEANr71Z7hsIcpc88m/bhWsaLIAH9jVEIIajZbGowGKjf\n79scoJ/z+bza7bZ2dna0vr6uL33pS1dan9caPLwmAS1fX1+3J2BJiqEqAw3K+xg/Ipoko/JoA34z\nV7VaVbPZNPQHCNBd8OO99gG9ZHH5iYtgSOX10WhkMfler2ebzrgn7sFv2uKcHjQzmYx6vZ7a7baq\n1arW19ct0YjJT74EFBj6D/vJZDIaDAZaX1+PuRzSKkOSe7t9+7bm87m2t7f1+uuv28QGrGAJLDKs\nO+f2Y8W1IdZeXFwYqFHSbzgcmvtBgZuNjQ0DE8YGUPWCMDVXKbdInkOtVouxPjb6oSd85CMfUavV\n0unpqbEUv1fKC51eb5KWKfnHx8fa2trSzs6O5WBQ2tIL7BgZrhU3zmsq/pEXrAOMAqBcq9XUaDTU\naDSsL32omZ3L/X5fv//7v6+vfvWrMSG42+3qlVdeufL6vNbp6a+88kr0cz/3c9YZ+IOVSkW9Xs98\nXh8jRzTi837iZrNZ62hJRoXT6WURFUJ78/ncnmu6WCxscvtSfO122yyQj3Ls7e2ZAAk4ZbNZnZ2d\nGZVmEtXrdaOSXsT0+Qo+akOSFhvTmNTFYlEbGxuqVCqxNHhEV5/0xPWyiLwgyPueAbB3pdFoqNVq\nqdFoWK4LFBitxoM8SXe4XT5sLq0YIosMRnN6emrb9xFzAc7JZGJAghuFngGQELUhvD0ajVQul9Xp\ndDQej1WtVlWr1VQulxVCsMTkfw91AAAgAElEQVS0brdr95PP5/Xqq68a+6NfMEzFYtHcLD6D2JxK\npVSv1/XCCy9oMpno0aNHsYRC+gtdDNEWdwq2w74fzs17PLbTh/QBJwIDnU7HAJY10+v1NJlM9ODB\nA/3u7/6uAW2j0dCv/MqvfPC25H/oQx8y8CBHActWr9dN0fZbmel4HwtPUkMSbMgbiKJI5+fnlscB\nFUb59tEHrNVsNlOv1zMQ297eVqlU0sXFhaTVZjQU/8lkona7LUnqdDqqVqvKZDKx5Cvv7/qoCsyD\nPqDSGJGJdrut0WikjY0N1Wo1VSoVKyY0n88tA5QFjPX3Pj736n1+9IlUarmvxfcjbApGxnG9iE2U\nA6ZD/+fz+djDqUejkaVbn5+fq16v6+LiQplMxvQfCvVOJhNbvD503Ov1YgWCvHUHJBaLhTY2NmKu\nLZEOwA8WiG7y+PFjSUtwqtVqWl9fj0W9ELorlYo9soKFzHf6/b5arZaBjNcqmFeAkGfQHlSIjng3\njfvwgrC01LzG47G53UTZyNdJp9P6xje+oQcPHmhzc1O/+Iu/+MHb2wKyYgl96nG73VapVJK02nnr\n9QwfQ/fZhz5CggALq0BcxbqxQFhkpIX7BDR0Byx1Op22ZLbz83MTGLHWs9lMa2trqlQqVoAWsJD0\nFt2CBxYBhtB7VPPZbKZ6vW7iK759CMEArNlsqlwuW+o61Bg3KIRgGsll4pzPr/BJV+g4sBy+w2c8\nM2SRoUvw3X6/r6OjI2MZLCASvXBjsNabm5sWWTg/P9dgMFC9Xpcke3wFQMWcYd5geXE5Njc3tbe3\np1wup/Pzc5XLZQNdrP7du3fVbDaNsZLjgeuDi4TVZ5HCjHALd3Z2bC50u12bY8xzImXMAy/K8toL\nr8xn3BmSBdGcMpmMPvzhD+vevXuaTCZW5wbw/r7v+z7t7e3p9ddfv/L6vNbM48Mf/nD08z//8zZx\n8UGT1oXB9BqHT/BhYNhJCigcHx8btYNek1xE889k9WKVT4ZCryB82el01Gq1zOJCwdvtdmzxkexE\nY9EwyP1+Pzb5sBqwgEwmE3N98J9JWx4OhyoUCnaPpVJJu7u7dm7uFzbh98mw8HDf6EOfY4GLCIBK\nqxqfgCnn9oIjeQvf/OY31Wq1bFx4T5KBzHQ6VbVa1WAw0MOHDw08kzksJAayqNBBWFRcM24orAPL\nXKvVdOvWLe3s7OjOnTsWIsVAtVotSbJr9UIlAAozo899LgzaSQhBx8fH1j+AVDKSxxxh/np3E+NR\nLpfV7XbNNWGu+S0auDmz2Uz379+PJQpWKhUVi0X91E/91AePeXilm06V9BYxic/40KmP2zPgvnDu\n6empvfb1TVutlrrdriRpd3fXchqS4hURhsViYZuO0EL6/b6azabOzs7MHWLxVKtVm1Ae7Bhsabko\n0VnG47EODg4s/JfNZrW9va1CoWC1H6TVfhm0EFLBO52O7t69a4DY6XSsLwjp+olOeNBvEiTnAbAA\nHHyqvM+r4V4922IR4vq1Wi31+31jbVQlI8sWDeT4+FiPHj0y1w+hMxk18y4XT4ejD2CRzB9C4hiY\n2Wym09NTnZ2d6eHDh7q4uNCHP/xh1Wo1M0Sbm5tWMhCNy7tvuClEqZrNpn3XpxtsbW2Zger1eqaN\nMX6lUsnYp4+OSCsmjkEjqxax2LuRjAfMMZVK6aWXXlI6nda9e/fUbDZtU+NV27UGDyzkZSnl/DB4\nfnLweTaP4VMSlx+Px0bZsf5MMp/wdXx8bKo2lbY8iLF4oOSExh4+fGi5EERGsKB8DqHLh0dns5lF\nZ3q9nlnSQqFgm8+iKNLp6alSqZROT09VqVS0v7+vra0tDYdDi7jAFu7cuaP79+9rY2NDm5ubJr6W\ny2ULMeI6Abp+cxyvT05ObGJeXFxYohoCohSvZA8wZ7NZuya295+dndkjIABxD0LQ/YcPH2owGBjY\nZrNZAwTGXFpl+hI65t58pI3sT8KeWHkWVqVSMcbW6XTU6XQUwrIeBvNkc3NTvV7PEguJiuHCEWqn\nRICPCAEG4/FYt2/fNvCj3gauDqkIPnQNwAFQXizFBQOkYXAACm6Uj+atr6/rE5/4hNrtts7Ozq68\nPq81ePjwG6ie1C+whMnNQzwygAmMYOlprRR/mBKTiuNKS8pIrgM1PX3mIeHOVqtluSjpdFoPHjww\ni8iGM6xLMlWZicEDm/v9vllZJjvsB3YF+xqNRnr8+LFFeVDWyVw8OjrSzs6O2u22ZrOZ7ty5YzkE\nTH60Gp+/gCUnrCzJ0vNZqNPpVBSo9i4EAOKrsEuKJcBRG4VIjSTTDw4PDy3l2md2sliYBxyfBU00\nhbKKgBkVtfwCgxFg6RFOX3jhBUs1hxVsbm4aGwBoYRPn5+exeqwADS4MIAaQzedzvfHGG9rf37fE\nQcb57OzsLe4K94+e4yueSTLQZysDa2A4HOrw8DAWKkcbOTg4UL/fV6PR0A/8wA9ceX1ea/Ag5Cmt\najiQtenDmQALLgjioU8E6vV6Vu8UAZAqWj5kSed7loGmQIgX6z2fz9XpdMx6AjilUkkvv/yyxuOx\nuRvQdkJo5FtwXyRCSTKWAVASReAYPnOW7fJHR0dKp9Pa3Nw0cYxUbCI0s9nMchFYuDxLlvMAeGSW\nsvAk2fNNYRq+PohnbN6VpM1mM7Pm/tkiGxsbVjaw1WoZaOBa+MQ8QrsAv4/AcO1ra2sGCFQ3Q3sK\nIViYFsEWvcPn+wAU3W5XIQSdnp6q0WiYS8W8e/z4sek5sEcpvjsatxLXeG1tLSaqEuWSpPX1dZ2f\nnxvQeYbtNRq+wzzwUZjBYGBhafrMGwPmd6VS0WKx0Ne+9rUrr89rDx5UsPIWN1lQh0lbKBRiKecA\nQLFYVK1WMzHJV52CgjJJoc6cj4m7ubkZmyCnp6exWhXpdFq9Xi8Wi4f9bGxsKJVKqd1umx9N5h/a\nDNeHMg7FZ8JTFAcflQQwxFMsXb/fV7lcNo2DvslklqUFLi4uNBgM7FksABi6EhOZe83lchaFyOVy\n2tvbi2148wKnDzMm3R4fkkYUJux5eHj4luzaTqdjTFGSAQDbFCgcjFvKfdKf3hITSSsUClb5DLBg\njNmMBzjBCmGIrVYrJsySsHh6eipptU2fBe11IVwPasL4yB5zjcjf5uamua8wEJ+oiCsCQMMYcRWl\nZeV01gw5QR4sEdLRWK7arjV40JiQLHrfvIWFjjI5+S56grQaCJiJn+he+OP7qdSy+DITk5j76emp\nWQkELUDk/PzcJjA7GkMItskPKkviGACAa1Ov161WJ2Kft9b9fl/5fN7eR0j1qednZ2cqFotaW1sz\nQPGVyLg3n++AC8PnKHaMu8UmMhYaeQYkovmIjGchaDjj8dhqShDy7Ha7BuAsmMFgYIAAgCF+80xW\nv18F0RC3pl6vq1qtmmhaqVRMs8LV8TU9WPAsLo5N3gliOAwyiiJVq1Wl08tyCuwn8SFUksI4h3eP\nATjGC+PGWPK4C7Q5746joXAcAJW+85Eaxtcz8cPDw1jkiQjiVdq1Bg9oF9bH52PAOhDYvHsB5WeR\neovkwYHBwNpJKx+SAWIvBMwCccv7xKPRSJubm2YJd3d3LczolfCkdV5bW7PIDdpHq9XS8fGxWXcy\nF9EGYBDsioSe+63cg8HAmE+n07Et694ajsdj5fN5dbtds4jQbZ+gRmKR350rrcLVWD4AhkQ7SbYX\n5+zszBjUbDazY7XbbRN3SeVnXGEa2eyy7ur+/r6BDlEFLO7Ozo6lf5dKJXsGcbFYtLH3AqOPgABE\nfI6kLHJIEJcBKq4RcJ1MJtrZ2dHR0ZGxWXQZ/9on97GQOQ5zFqAhnwgwZzxgQrAnXBeiWj6cy/Um\nM4j39vZM9/D1Y67SrgweIYQ7kn5B0i1JC0mfj6Lob4QQ1iX9kqS7ku5L+vEoijphiQB/Q9K/Imkg\n6aejKPqdb3UeOpTFDYCwwLEUMA5EIY+8dJ5fPAig+Ia852Pt7BqVZDsQiaBAqev1urklFxcXlnOC\ndWaiMLhYUZgUyE8UoVqtWqo81gSAarfbVlHs1q1bMRBjwZHIhFsTRZFOTk5UrVa1trZmKdyj0Ujd\nbleVSiWWj8GmrFQqZbtrZ7OZsSzAUFoVPAZwvRsJoJA/49Ots9msjo6OlMvl1Ol0TOxE0whhmeB2\n+/ZtiyYALugrXltJp9Pa3t62DXMhBFt00HQAEDeCPAkWNyHkx48fx4R4XMz19XWbf4PBQA8ePLCQ\nuSSLHCUTvzAWuHDMJ4ARYCCvBJfXAwpuGn3NODA2rA0A0oMG56Iv6Nv9/X1bM1dtz8I8ZpL+4yiK\nfieEUJX05RDC/yXppyX9oyiK/moI4Wcl/ayk/1TSj0j60JOfPy7pbz/5/Y4altOHbwlRQdW9L+gj\nNFEUWUVwaLl/UBH+po+Pr62t2bFxIcgNkJYPzmGQWWQAGqo/C91XPmd/ChYQ4IMt4R6Q83BxcWHl\nEBuNhrELJpo/FoABhcd9onhxv9/X7du3LdriQZN7kGTMJplfwwIEgLB0TGpYCvfJeHhdYT6fW+QH\nAGHs0um06vW6KpWK6vW6AfX5+bklNNGfuVzOIluAHVrXYrHcTFev19Xtdm2R+gWJEIoeAMixjwfN\nCV2q1+vZEwkZl7Ozs1htFRLzfMTEL/JkjgzfQYsDCIgCSavi3aQkSCswAMgBFs8YvUsmrdIeuFbm\njU9SfLftyuARRdGhpMMnf/dCCF+XdFvSj0r64Scf+7uS/h8tweNHJf1CtFx9/18IoRFC2H1ynG91\nLvsb2kd6OZMF/x+r5IsHoVAjYGL9fcEa76ogXjJJeACPJNv+TkKYJNNcGIx8Pq/BYGD5HGQqAmhY\nGe8Tox0APL5KFBOHSA0aDtvJ+f4LL7ygbHZZY/T09FT1et3AknySs7Mz20ULdR+Px9rZ2YmlO3sf\n21tTrCDaByAEAOfzeZ2fnxsDZPyI6nQ6HXMFSL3f2dlRvV638+IeUrekXq/bA8u9j9/tdg0svRGh\neDJuLZoGegFuyZtvvhkLzcNCHzx4oN3dXaXTaTtnOp02Fy+Xy2ljY0OTyURnZ2dWUmFzc9OAEdYB\nWOBmAAC5XM4MB6I7Y8FvQBqh22t3JBJyPOaf39PlXXWYB+/zP9ziq7T3RPMIIdyV9P2S/omkHQAh\niqLDEML2k4/dlvTQfe3Rk//FwCOE8FlJn5WWVFB664OMmCToHYRJiTYQ3sVt8TkiPqLCwPJZQpeA\nCOBEDQ2sK6Ipi2djY8OKwDBppNWuXaI1XqQj6xVWg6BJnVXvaqFP7O/vm69NSK5UKllBHaIIW1tb\n2t/fN+FxsVjYZi+E1PX1dQO5dDpte1u82wGQSLKNaj7yxeTjOzSfIUpofTQaGZCxoLe2tjQYDLSx\nsWF1amezZfGk6XRqz+yBNXQ6HUmr8oI+E5Z+xB3wafTpdNpybc7Pz20eIECjlRApm06nun//vo3X\n+vq67t69a0lisFCiGrCWEJYJWKSyAzosVIRkFjlzybPJ9fX1WPSPhDyAgHvCKAJ+yeRFxFZ0QP5O\n5pD4cXu37ZnBI4RQkfT3JP1MFEXn0KLLPnrJ/95y5VEUfV7S5yXpox/9aESH4StCQelMOjqfz1sd\nBjr1yfXFQmdJbcPH0qmtyWIiLIbQx0L0Ytnx8bEtXtgK0ROvvvf7fWMNPq+EBd/r9bS2thaL/lA6\n8Pz83Gp/sMCwxKlUypKsyJZkG70kYxxMLEBKkgl5+OcABewCHQBXRZLdN27GdDq1Hc5QY8aH+0UP\nIqHKb0Aj25LsSsRQtCOyIEMItvMVCw4DRUzE9WPRZTIZ221L//u9Ub6iGSKuT0J8Mh/Vbrd1cXGh\nYrGoO3fuaHt7W61Wy3ZHw2i5tlqtpm63G1v0HAug9RE+3JkQgmlpuMVk2KKdlctli3px7/5amfN+\nHxbuDOPCubwbc5X2TOARQshqCRz/axRFf//Jv49xR0IIu5JOnvz/kaQ77uv7kg7e7vi+M6SVH+ct\nI2pxs9m0icpE9jqJR1g6jsH2OSRMKI7LAqHj2YF5cHBgxWS9NSbxTFKs+tN8Prc9MJyDx0cyObgW\nEtLIjQBosHDHx8dG+RFr/YOR+E42m4091xf/nXAo2bIsJJgU35VWbpq0Ki7jAZwJ7Ccif7NlAEsN\nUyFC5KMFXBuLKZ1O6w//8A8lydL0qblJf5DsBuiTd0MuC+4TbhZsI5/PW1o27/u+Bhip2cGcgZFM\np1Ntb28bEyV07sO9npHBNhhjHwRgLicT69rttra2tiyvifuj/7l2zokBAFRhHrApH1XEELAOrtqe\nJdoSJP1Pkr4eRdF/7976oqR/W9JfffL7H7j/fy6E8AUthdKzd6J3PDmXWRvPRHzEhU5nAHgPdPcT\n3LsEHJ98BpgMAwwY8OCho6MjKx+IBcPPZwBxcfDFibYUCgWz6NIy0QzrRblCLBkimKf+WC6iMGg7\n4UkYlEgJLpcXx4i8IAovFssMyp2dHTWbTcuDQF/hGgEPJiEAiW6BliCtxDmYIAzOAzGCIpEhQo8A\nXLlctvTpSqVi2ZIABr49Ajj9AbABGGSq4j6xiGGRzBfyXrxGwrUQtpVkmtV8PtfBwYGazaaef/55\n7e3tWcmF7e1tc0lgH8xVFjp/c24PLtLKRU+lUjo+Ptbdu3dj6wDWiLHzbIL5zlj5MC+5T35NeIZ+\nlfYszONPSPpzkr4SQvjdJ//7z7QEjV8OIfwFSQ8k/RtP3vtVLcO0r2kZqv3z7+QkPhzoOxqUjaLI\nwog+j8NrD956eKSnI/2uRSYoVpFIRbvdtjoSHJOJQlTDP8YAHxohV1pu1MOH9aDna3w2m03LZiV/\nA5EO94XrHI/HFnI8OTmx7ESvq/gwXr1e13g8NnfHPy7Ah2ixTMVi0dgDoieTEEBKRm1SqVVlK8/M\niJ4A+n6XLcah3+/r+PjYdAAPSovFwgruYIHPz88NmHFTpFWWqLfKVJL31c18ijh6BHNBko21pJjQ\nCIM8ODhQr9fT/v6+SqWSer2e1f1AzMYdgvnAiGGYyTwMPgfQ82wdANyzFNgF68RrIP49GKI3lu9F\ne5Zoyz/W5TqGJP1Ll3w+kvQfXOVcXujxocFsNmuLic9594SFcJkwxAJZLBbmrnhhFf3i/PxcrVYr\nltQDgEEFsZD46myW824A4h7+OOCC8EfEyC/80WhkkReOgSXxgi75D91uNwYI3KcHRVwDz0BwoTxr\no2/438bGhkWfmPQsTr+Tkz4iBXo+X6awn5+fxzZx4b+jRfCUM6w2FJ9xpm83NzctH2M0GlmUBjZR\nq9VUrVa1s7NjeR1kHjOHiAzR5xgC6oz4qIR3O3GJ+cx8Pjdm9JGPfES1Ws30JlgGrAbW6PU3xEzv\njkuKMRVJMY0Htsv73LsPp/tr9zkfzAM0IoDmqu1aZ5hKb33OLIzDb1Lj/1789Ejuf+hQ/FsAAPEQ\n9sDW+W63G0uAYvKz8xVln+K8WEsW0fr6ullsFhkDSF7BYDAwa00YkYnd7/e1sbFhlgj6zISazWa2\nkxTBj4l2cXFhkSesFolphAqxbPjSuCI+OoDlJ1eE/vEaiteYer2eZbZSj5QFWSwWLeLx4MEDc6fQ\nIBiDRqNhgEQZv8ViYSC9tramxWJhYMl+oGQeD6F2+pk0c8YeRhM9SRwD3InO+KpoADL3j1sznU71\nzW9+0wBkNBpZRAzAZ7zoC/rKb4DkujzLYYMg9Wk9WHhWCAjwPqDP8fgcoM9rAOoq7dqDBwjtczhY\nhGwL99GEZNjK+5XSio1gVVk4bKgjIYct9j5i4pV8jtnr9Yx2E/6UFGNFMAp8UF8ugALATN5KpWLg\nwSIngQs6nsvltLa2prt376rb7cZcifPzc/O3KY1HnVU2DvqIExMKBiEtcwyKxWKsSj0siXsldyXJ\nbFgcfJ8aIPjn6BEUyyGKxEILIWhvb0+VSkXHx8f66le/qsViob29PdtjhCZF+NezMBYH4qnPQ8FV\nhYWwyHBlADdS+2FICKNoPZ7F4X4Nh0M9evRIL774ohkLvv+06B8A4pmHzwRlzvokMZ9M5sfCrw/O\nC6NORhmTleOu2q41eNDRoDIUlgmUFEGllcWnszwqJ8NTsA6EOyYXTxJjIKXlAKIBeP3F7xsBxPDB\nofmACFoHyWSU5mfrODkX3t2qVqtWlxLxEdaDlnB6emp0FuGXTM5cLqdXXnlFR0dH5kYAIN1u1ywq\nE5XEI5gZ0Q36hx9Ck/QNImM6nTYrDyhBnann0Wq1YmDjx3Z9fV2z2Uy//du/rUwmo42NDUvcY8L7\n0KMk05WSqetES7iGYrFoWbqdTsfO60sVUoXMXxvb6GFURN1CCAaQCMmPHj3SK6+8EgslM+70m4/m\nocdJirEFhHf6DjACxJnrMFJeo/VwDM+yyUkhmsb9X7Vda/DwuQ5JgPCNCe0FUR/evSwxhg5lwfM9\n9pTweX4YZPYeZLNZNZtNC4+yyLB4UE8oJlaODW+dTkfZbNYe8oz1Y/epzwmA6jPQaAX37t1TJpPR\n/v6+tre3de/ePV1cXNiOz/X1dQ2HQ92/f9/S7Zn8LHCsZAjBBNAklaYvkiImzIgFyw8b82azmd1v\nCMF2nxKGxpJTzLparVqBYrJgfUIXY4rlLBQKdizAjNKPJPbhxhDdwW3DdaQwNIwWVw9wI7Eul8tp\nc3NTGxsbts1dWi14AIL545PkYB7eqHl9yYefPUum30lIpL8BPJ+AxnfIGPUsibkUwqpMJHoc43uV\ndq3BA0sAaoKwPu2YmLan4J5teO0jCSpQfaggFbn5nN8zAlsACAhl+nP4RDIWDxOY52Zg7aGb+Oxk\nfWazy2fLkHiG1SRfgyhDNpu1lG/qb77wwgs6PT21IjYe9JrNpk3kYrGoo6Mjo6zlctkiDrA6+pJ+\nYn9NkiJ7H9pHadrtts7Pz20R0S+Eubk+Ur7Z7fncc89pNpvp4cOHdn7GmWLPhK7H47Hu379v4Vki\nV+ysxdLjjngxGxA7PT21mhwsxmq1qq2tLZXLZZVKJXU6HbuPfD6v9fV1bWxs2GMqSbzDhXvzzTeN\n4eBGkNjFZ5hjnDOpHfnIDODAb4RZMojpS8YXBs2u78v0P6rTfWDdFimeo09H+MSqZBpyEiCY0Lzm\ns6Stc7xOpxNbsB402DLvBxEfvd/v28Qcj8dqt9sWnvP5Dkzc8Xhs5+E6J5Plw4xOT09jfqh/tGQq\nldLLL79sIWEsD9EawG9nZ8e0gW9+85vKZDKxcni5XE5vvPGGNjY2NB6PrXYIO1ex6j4qQhgVYPUi\nL9vVmfjScpJyPMoYAmJUI0NrYoMbbihshQQ6gAHdIZPJ6ODgwBge7zMXiFyR5yHJNsiRnk5uBwyN\n78IYeB4PGtRzzz1nwidGg8X34osvarFYxIoRc11EgmBzvtwjc8Oz5uQc9S61d2XRYQhb81n6OZVK\nmeDrmbZfD8yzDyzzgGYh8ng9A8FUUsz/9upzMimMBkr7gWPHLJvlyGvwZfDI/MRqUTfi8PDQBEAG\nCX+XwSXsywTCSkqr8v3cc61W09nZmWWjQs95IDHFhXgi/HA4VLVatUQ1hNGXXnpJ0pKpHR4eWjgU\nt6TRaNhzT8jx8Bv46GdqcnAsXBcWk0+FlmRuAkla5+fnOjk5sR2xH/rQh4zpSNLBwYG5IVhU7okd\nyb1eT8fHx6rX63Yeqpl7tuSFRUDQR1sQT33IFYtNhIRcGFzmhw+XW7Lu3LljKfL8MI92dnYsV6dQ\nKKjdbqvRaJgxqlQqOjk5ibkwzEUfCaHPARO2CjAnvdDqd+MCDPzN8WDWfm34yKQ3ru+2XWvwkGTA\n4ScJneDDuN5toXO9ZiGt4t74jjAJlHRCk2y95ilfWBRCoZlMRkdHRzo8PLR9E/6ZtERgpOUCw+oA\nKgARAhZbsJnYRF94sDfZlDwS4uTkRMViUTs7O9rY2NDh4aHlSwwGAyt6jJu0ubmpTGZZfIinxsNE\n2BxH1ACqj3VGTJRWoIvQxm9vNb3OwYSmjshwONTZ2ZlFqzgPC5Et8H6zGK4JAibXTwSJ59GGEGKP\nW/DWfDqdxjKF/blhiNQ4IWReqVTUarUsRJrP53V4eGj9CWPz/V6v1+0+fT0REtE8Q/PRQK9LMD/8\nZ1jgvPbJZTAbH9V5mtuOuwngANhXbdcaPDxweN+O9wAQn3LrhVNpRQO9ZScnwEdGABlqdeKOMDjF\nYlEnJyc6Pj42MGEBMmmx0lwTk8frI+gm+NL+2rjWcrlslmt9fd2sMWyGvoARUFmK3Ib19XWrPbq7\nu6sQlpvrqtWqLTof4oPO8ywRrKIko81Yc0LcPrNUWtFmLz7D1GazmW2ou3XrlrGJVqtl9STYkwKd\nT6VSun//fiw7Mp/PG1B7ATupdxEx8QIuY482waKhTzEOuFzsV8FF5nuS9OabbyqKlo+1uH37tkXm\n0K5grN1uVxsbG5KWAFCr1cyN8yFZGLZPPacvuW760wOD1zhgESEEiyT5fBHcf0DdR8qu2q7u8LxP\nDWHMD6734ZLsAjT2rou0soo+eiCtRFnCnqjrUD4KBT948CCW3eeLymK58CN9IRe/rwP3BP2DvAoA\nBBrN9nkf04eSM4FhM9PpVAcHBzo4ODCLxPe4B2pi+EQ1Flcmk7Gq8oTwJFmWLffMDxoM/c/ior9Z\nmDBAFjd5JkzoKIqsDCN5GtJSSxiNRnr06JGxEsRaHv1A/gkgyPixE5rICcfzbJQ543cG+7wJ9oTw\nHXQE2BCRnMlkomazqePjY3P1+GwURVYJ3WtzPsmMcffRPn+dft74uYohBWwZX0pU0hfJ6I4HF4DJ\nr4+rtGsNHj5Ozc3SAbwvrXL1Wdh0mN8QxaIjlAXI8Lg+tpUTpkMXePXVV3V8fGwPKhoMBgYuFBiW\nVvST5CWKAyNYkiNCWBcXiNDbZX7sZDJ5y0OReL4ti4U6IWdnZya69no9HR0dmQ9OPU76CF0Fms31\n+gdIM5klxSxep9Mxq3RmnCMAACAASURBVOl/JMWADdfPC96kiZ+cnKjVaplICSgSkSBHJpPJWPan\nF/jm87ndn8+shRX5RD36kRwR2AFzgD0xgIPPreDeuSfuw9dpefz4se7du2chdeYVjNSH8XFfPEvy\n6es0+pR79VqI10aYv762DWDsIzBJF4hrBOiu2q612yKt3BMmr0dRmqdhPlriQ15YFb6XTqctQxGr\nDL1GBD07OzP/FfbDoBMp4DfPXWEPBhMQQGBBkDHqNRBoPo3kJFwfsidJnyYUi2gLOD148EBbW1uq\n1WoWQYLJSLJ8BgRXLxqzkNmMJ8kAB9eFAkYwFFwJ+hSglBSrXcqx+Bs34f79+zE3qVKpqN1uW40T\n6n+Q9p9KpQxMWfA+jJ/JZGzzG9eKi8SiQuPxWZZU8spms7bJcTqdan193dxQ9DbCvHwvnU5bBfhb\nt25pf38/pmMh9DMP/cPEvZjPAvcLn3nq3UEYtAcUv1Wfh6gjjCNoAzqsD8bvWZjHtQYPr1skhU+f\n+MX/6FBJMYCh0xlIBmcymViuBAs2k8no8PAwZhGZjOyN8Bmh1WrVIhHeh8Xi8ZpjU5yGCYB1lGQD\njduTSqWsUBATjmxHwsGk0TPBqfdJQlgIwYrsdLtd3b5927JcWXze2sK8mFxoCNLq8ZqeCfkMUmnF\nPnwomrCutKxTQX3U09NTKwmwWCzsEQewQxgDESS/uHjOLf1erVZtjEk1R+ikrCRzCG1osVhYGUf6\nZDKZ2OY/wro+ZwJQwr1BwxoMBiagf8/3fE+spq4vccBcpY+Yn0mtzs93nwFMv3sXnDFptVr2LNy1\ntTVLbkOzoXlB9gOb5+GFMNgEirHvAJ9/wYAwoT24SIqxEhYuWZlss2632wYu5D4g/vmt6/jnhB2h\ngrgDDDKsZ7FYpkzjqxK5kWT5BVEUWfEbFik5Br5f8Gmp9+lFOCIOg8FAzWbTJk82m9Xh4aFFW3Cb\nEBKxlGgT9Lv3kwE6zu8VfkmWF5LJZGKMATDF6rdaLfvN+LDhkP7N5/M6Pj6WtMrkpH/W19eVSqVi\nOS48BY1IVb/ft1wI/s/14j5wzaTHZ7NZe2AWwEhEBZZK1IinD3pDdnJyonv37umjH/2oPZdnc3PT\nDJFnEfwNcPhoDGDM2PiFDpNK6nfD4VAnJyeq1+uq1+sql8vGrulj5gjg6dPj32271uDhRU+PyGRC\nesDwHe8/y3ssXhYMFJcdkPP5ck/L4eGh+cY+d4DFS2cTjsUa7+zs2ITATZjP5zo+PjYrzw5JBLRU\nKmVAw0O1uW6o+O3bt3VychKbaCxQFiX7ZLCMFDlG7yDcyOR5/fXXdffuXXPRYC6pVMqKCvk6G17I\now88DfY5C1hJ/s89YdUbjYZpP4ikPsQKUOLDM3Y8t4XxTKVSVjiJvhsOh7YHhv71NUB9HsR0unyQ\nFiUO6V+SzPx+p1qtZkltjCtjytZ76qpMp1O122299tpr+shHPmL6CAZIUqxfAWn61bsxvk/993gf\nVuPDv7PZTAcHB4qiyB7a5VkLOiJj8iztWoOHFBdDkwIpHesjAh6NfTgKNwbUphMRK6lJ6RdLqVSy\nhw9jjZlcjUbDXBoSkIgyZDIZK1BEtIYMVa6fXBNJthWe7eK4UyEEC2fCjNLpdOxZtr76F/fD7l6f\nPenrkhYKBbP4AKRP9PKPUPAP2PaA4TN0aV6c5ppgWVhwXEd0Ic7JztrxeGyp+PV6XZ/4xCfUbDYN\nBLDalUpFm5ubeuONNyzpixwbdsVybRgHn3PTaDSMxaJT0Z/oCCSXMea1Wk2lUslcSdiHj9iwWLvd\nrpUSZJFjPHyav8+/wCj6SKI3ij5Z0QcRPKNgjChh4HUXz8a9wH/Vdu3Bwy/mZLptUmj0ijKuDRbI\nDwpCp88DoMoVW/Oh3dVqVZPJJLZ7ttPpGBvxIdYoiuyRAbAbcg54IJQk01CotcnC9wq512t4shug\n4Kt1R9GyUA8LdjqdmsYhrTZIlUoli/gQ5gshWA1Ufz4vNiOCcu/keBCCZWEA4D6kjigsyZ5xwn6S\nzc1Nq5dyenpqpRdv3bplrhN7YwhD+vqwJGMhDrP7GIbBM1+KxaJOT09jrifC83S6rEXqE6z8OAII\n7Xbbnv9L/+/s7Gh/f19HR0ex7GRqs56dnen+/fuqVCra2Niw9xgPQqr0ue8r+pFx8CDhXXUfaiVt\ngLD4YrFQs9m0OqjeTfOuywcaPHy0xQuosAmfZOVRXIonLtHxftKTX9BsNtVsNm2C8hT1EJYJZTs7\nOzZZvY+IhYZV4Fs3Gg3bNcv1ZjLL53q0Wq1Y/gduSC6XM2FPWomFgBTWbW1tzep6kDGKhSSa48VP\nBFq/pZtt74vFwqq2++eK4CcTagSkEXg9gEOVsWyMkb9uIgFYQAS9Wq1mDKnValnJRdjQYrHc5SzJ\nCguxONAaqL0CoKNnkLDX6XSMsZH2T3h0sVhY5CqEYCnpuH+EmqH/9Ke0Koxdq9WsAJB/gBe5IUdH\nR5YGgMDqdwgz1rBQrsUbJFiI15aYVz6Sw3c5diqVij1XhnN4IPHHe7ftWoOHD1dhzaSVb+gZRVLr\nkOKiHq/ZPwHo+MkVRZExjVKpZNWs/DNB5vO5UVUPHIAWG8iwsGzyogqXtPQ1u92uuScMPhOQxYuS\nzw5NtowzSRERuWbYSSqVsuMS4oUxsEOUfSP0aTqdjmXewlIAbZ7WltwT5AVtfgOW3q1Bw5CWk5d9\nH61Wy4CAUCwh5el0qmazaQ8IByhwiShLCHtjvAEdjAWRHiI5uA8e8NbW1pRKpfTGG2/YNRJSvnv3\nrgFSMucGhnnr1i1LU/ca0OnpqV566aVYrgt7mqRVohh9RJ/7LQH0NZ+hr/06QRvi+vgs6f7r6+um\n93nm6kHs3bZrDR7SqooSAweNw3L6z3kxzYt6MA8WhLTKOPUJRFhe8hy63W4sCYqNXlgjVHeiAlTN\n6vV6Vq8CC8zA+v0xqVTKKDH1NskHoTzAdDrV6emp8vnlA7T9VnNpOXEIIc/nc7VaLas3gj/PZq5u\ntxtjBnyu3++bb+yjKf48LEyfTeojWFxLUqTGqrJQa7Wafa/f79tuZAAE4ZOFuL6+rnq9rldffdUe\ndMVYUQgJLYOFCWMjgY/5w734RzggZPs+XFtbs1R9abmXCJ3k1q1bsXkGW2o0GpbHwf4dwHU4HJrV\nR7D16f7eLfGui3cdWej0P3MYt5n/Y0T9WBBRJCUfXYbzXrVde/DwE5WkI+8HJkNNWD5vhTgGnU+H\nMcjspyC/IIoidTods1hYjUKhoGazacyFCc9AkVBUqVTU6/UMYDgH56WyNr44oWKvpEOfpVVdymaz\nKWn1IKfd3V3TYnZ3d3V0dGTWi+ey1Ot1o9V3n5QtBCzQSAhNIq56esxkBvSkVVX2pC9OP3nGiOia\nfFgzyVyVSkVvvvmm5cBwThjewcGBbfxj3xHA2+/3bVwYW198x481afNcB4YFjcJrBZPJRPfv37c8\nG8aahz+Vy2U999xzFmGD4fX7fdvGn8/nbR8Rj/6kbxDHfTDAi6R+QScjL9wLfb1YLGJlKHksh2fh\ngCR9i+7nWflV2rUGDzrbMwyfCOYtnv+8/56n3bgH6XTaaP5isbAUb0RNlH5o6Xg81uPHj+09/F0m\nKxQZP/fs7EyZTEZbW1tWFyKEYMle+KBEAQiX4q/DcABAJjdbxv1elXv37mk6neqVV16xzXZra2sq\nlUq2QWs0GlkxonR6+TBpRE+yZ8mM9IluANFl+1kIyWI9uU6iUlBjXBgsKP2ExnB2dqZKpaIHDx6o\n0WiYlfY7VomuwGBYlERY+IGWc58s6iiKLKEMdwBGibgNcMN4AFAvjEuyZMHXXntNkvSxj33MxiWK\nIqtXi45EXQ2/4D07S0YQ/Xz2zIC57PveG08fSue319VCCLE6MvTZs4Rrr/XeFmlF30B4Dwo07zN6\n/YPJ4MOzfI7aGohZLGwe3YhY+vrrr+vRo0c2AJ5CchwmO+FEFh0ZftyDn7A8wNqLvSwOtAGeO8tC\nIc9AWvrv3W7XrvvBgwcm1qLnkFJPyjWPjpRWE6tUKmlra8tAOTmpfW4J3+M9r/57QGehoBt4dw/w\n4HPsJyLXhSgBkZTt7W0Tbr27AmsgFE5OCUDDOXAliJIACoSF2eTo98hIKx0B9kTlNkK6WHhCso1G\nw/SvVCpl+TWbm5uxMCnACWD5/Tq46F7j8Cnl9J13aXzwwBtOjuu3EsBySX70OuJV2rVmHlL80QpY\nfDrIi0Y+Lu79cmL3dD5ax3w+1/b2tkUlQHN2bz548CA20MT5T05OYk+5z+fztqGLhy4hVJEQtlgs\nLIeDhC6ulfg+18cEYcJBnXEnyIbEdfHJTN1uV9lsVsVi0R4ehXUHpJjMvqAw2/YlxRiFF96wckxK\nH/rGpcTtATAu29HKAiacyQOvuD52K6NPkBZOfgWuIbkvFxcXltgmySqLjcdj0zzOz88tIW42m8Ue\nbcnCJBIFoEH1ySEpl8s6PT01kZprOjg40Nraml577TXdvn1ba2tr6vf7mk6XBZN3d3clLdPyEboR\nsVnAMFhpBc7JzF5vDD3TJrnOMy0pLsTSmLPodM+SXSp9B4CHd1m89fOJS542+5AWv30eBRYcvxO/\nmd2tPEwIIS2KIh0eHloBIF8LAxbBtUHxUebxz5vNZsxtIvoBlWThEQli4fmcESpokVDmN0OlUikr\nnOwFSQoLYWW5f0K17NHw4rLf+UmjL7GC9LsHaS/0wXzIVwFcAAavkbAnRFKs3/DNYRFcB4uc3bYI\nwjAHFggh1GazaeFn3iPngwhaFEWmexGSleKZtNR84frQw0qlkkXSOp2Odnd39fzzz5vrOhwO1Wg0\nYpqDNxxEhDwA+H6HjcBUAHyMIHqHHyMPIBgADCPrgKrvfs/Lu23X3m0BTbHCXuVngjMI3m3BovjP\nSSsaDk0nIpFOp61U32y2fPjyycmJiXqch8mUFGOhiFBf0ttns5ntpMRaSatn4EpLa18oFGx3p48E\nwDD8w584R7FYNItKngfXRiKSr6KdTqetVOF0OrUaqfP53J7GLsUfwOxZg6e4fJZFkMyaxLL76A7f\nYTwBXBgiCwI3g2siNDuZTCyMywa28Xisw8ND609Ai30u5Ob4anGczwMIoqin9cwPKL9nVrhJ/rnB\nUbTc2/Lo0SM1Gg373HQ6jT0vxzML+hTwxdXzrjGaGIDq3VI/59EvYCeMob8Pz2Rwka7arj14eDGR\nzvCd7gUoGp3M4EmrEJm3sCy6xWKhe/fuqdVqGYWOotVuUrQEaVVW0AtVJBR5i1YoFKzWAuHDxWJh\nSVve+jKh8f/X1tZiugILDyvqrz05qdigB+shqgJIbm5uWiFj3DmSzBDQfJ4C56L/6RufmOSjK17B\nRzT1wp0HoUePHtmOWtwYrP3m5qaxAHJTyPfY2NhQpVKxhDKO3W63lc1mLUkPxsi4SSt2w/V6Fkj2\nrRda0Y3oW18IGZZG/0tLBvro0SM9fPjQ8mL84vaGDjbgr4/FjEHi/z40zzzGuDA+MEPP1Hzf+3UC\nED4L87j2botfRFK8IlhS30gmk3m9wsflyXfY2NjQ8fGxvva1r5koiFUDfBiIwWCgnZ0d83slxTa5\nSas8kFQqZdv1AQj2ePjF58VdLOxisdDp6am5UpKMtvI3AOMzLX2SFq8Jk/pU+YODA+un7e1t2/EJ\nePnkJCyYZ1XeJfQLgT7wmk0qlYrt+OW6ePjT+fm5Tk9PLQxLYR5AS1rtgiZqxDmoiUJeDnkeLG7u\ne21tzUCF/qGq+f7+vo6PjzUYDDQYDMy1wj1Af/AV5gFtD7z0AYlra2trevTokdbW1iz5jD7wwjfl\nDpnXniV4DY65z9+XuSV8hvkOs/BA4lmyNwhXbdcaPGAa/rVHz8s6kdcgLmDj1XhocK/X0xtvvGFb\nxzkfC8hvxEKVp/guYDWZTFSr1czlwI/334NGExXw8XgAC62Dwed6tre39ejRIwOp+XxuoUH2dPgy\nfAAWx/JJRCwwgIoq375cADksgJW0ShCjP6X4Yzz9eQBEXAaYEq4Kj7/kKXqERVnUuFa0W7duqdls\nGjiVy+XYg6RhC1EUxfqC++x0OiqXy9bfOzs7Fqnh2TCUYSTc6xcdEa3Nzc0YSHS7XXtgFC4OOSTo\nEicnJ6rVatrY2LBj12q12AOjvF4EU/DuCiDmo2HSakOjFz591IvXgJZfG964Pku71uBBw7J5PYPJ\n610YKU7rvKvD51lUw+FQzWbTisWgSeBH+wVI+jM+OKzEi4fecnC91FMg/OojNLu7u5rNZrHaFYin\n/riIf9DfbDZrFcLw133uCwAFreW1r5QGeBJOBQC86IxVT/reWCqfUObrTfjniPg+4RwXFxdqtVrq\n9/s6Pj62QtMhBAu9NptNy2cpFApmwandAbC1222NRiOLcLD4YBHcczabtUV+dnam7e1te9rf2tqa\ngSuaCiF7v6EQvYQtA/V63bI20aC8vsXnjo6OTMPxEROfyUsfeq3Du4IekJnrPkGR5kO4PqTr9Q/C\nyZ5BXrVda/DwuoZHy2QmHh3ogcQDDYvTuwtU2UKIw1qgQBO+I8HLZ64S5eCh1D4ngeewptNpywto\nt9t2DeRZoOOQKoyfL8loN9EWriGKIrO8LEYEU5gD2ahMyEKhYMwI4bdUKpklZUGEECxDEvblowv0\nGyzO71b2gOXHTVqxQCYzx0HgZZGS3dtoNCzl22+RJ5qCeEy2LTk6pLlLy3KLLCBqmfBc4FQqZVsA\niKSxCAEExr9cLuvWrVumeTUaDV1cXOjx48emG/V6vZgrwdzwIHFycmLGI6mZ0dA0cG2kFZNIRvh8\nWN+nK/B9ry0l81bof89GrtquNXh4VGXx0ll+QfuWBBAfFaDzfBiUCAiTgHMSgYB+syuVp53VajV7\ntEG329V0uiwCw3d5vkgqldLm5qbt5mQh+PvBp+Z8PhfF7xDFovmnyOFzE1oOIWh9fd3uBXpfqVQ0\nGo3sUYroQQicSV3DR0r8RAWo6FOsPb9hQ56KM2GZ0NlsVrdu3dJ0OtXOzo6VfKR+CsdaW1szTWI6\nncbYA/oEbIXwqrR6Tgs7lYkqSbIdybdu3bLvoJlw/YvFQnt7e5YzQl6EJNM0fEUxH5mSZKFUoknS\nclcw2wCYc2T08r/k3EfrwrgA6H49+PMms2RZA3wOwPLi67Mwj2sfbfHWzIuMUrxmKJM0GVKUZMk5\ndBZsIZVK2UOAvEiHIEceiI9UfOxjH9Pu7q495xOfPZ1OW8QiipYZjO12O1ZUxlNXktEWi4VarZal\niUsyEQ0W4d0LtBd84UajYZXQYTfsAuaZIZubm3b95B6gF/jt4VgtrpGQL0wBkMGKeXbn74vGwvCi\nX6FQsB2eLCAAAG0IMRag9DuMqSELOwFIuaZUKmWh79lsZpm41Gwhgev09NSsOaUciQ7xSAhcSeah\n18PS6eUW//39fe3v79siB9SJvPF5okpoFfSZ35XNfTOPMXaeYQACAEJy3ibH0esgPimONfUs7ZmZ\nRwghLelLkh5HUfSnQggvSPqCpHVJvyPpz0VRNAkh5CX9gqQfkNSS9BNRFN3/VscHPLx6z0A9OX8M\nVOh0QIVQoRdXqSzNhK9Wq/awY/QOkrHYRRlCiBVFJjQorXIdvIA4nU7tgdS+Stfu7q6FHkMIlt1K\nIZtisaiNjQ3NZjNtbGyY5WCxwQJIoye6g69NOYHZbGa1WE9PT821WF9fj9Fi2AoJWTQmrJ+EMCJp\nVRaBsKZnhLAYJi0AyERfLBb2RL69vT1tbm7q4ODAzl2pVJTJLOtf7OzsmIALKLNBsd/vq91umxiN\nALy+vm7jDaMkSuU1HcACLQZ2E0KwGquwkkwmY1E6/4ziEJaP/Xz55Zdto+V0uqy8Tk3a+Xyudrtt\n3/Hahy9KlTSOzEMPIiSGeXZI33qNiTEgI5vj8zfjmmQ876a9F27LfyTp65JqT17/NUn/QxRFXwgh\n/I+S/oKkv/3kdyeKopdDCD/55HM/8XYH9hQNRPZpxX5i+yQyaVUYyGdQou7jirCAmRDsTWE3KmE7\nlHSuaTQaqdFoGM316nmpVFK1WtWbb75pz5JlohQKBQtRevT3yVP+YduUDOSxABQCom1ubtqO03q9\nbmUBfESGvTuLxbLGxfb2tsrlcmzvCffF9nn60Cc5eQtH85SYiSmtfPXk3gnP0tA7SOBikx76Aink\nOzs7CiHoK1/5iu3R4T6x8Dw1/vj42EosViqVWFlDFiiRF66fe9jY2DD3EyDn72S5BvbZ+DSAfD6v\n7e1tE0+pvI4BA/C2trZi4qXXJ3B1ku46c93nZPh5z2uO60EBl4bverfen+cq7ZnAI4SwL+lflfRf\nS/qLYXlVn5L0Z5985O9K+itagsePPvlbkn5F0t8KIYToW9yBt3jeevE3gieD4Gm0D4XR+YQ4Ef9g\nDSwoHk2AFScJic/jr5JMRCSF1/7h1AiQPJqBUC+f9fs8WMRsL2cCcA3T6VRHR0eSZCLp3t6eiXxk\njhISnM1mun37tu0EjqJlXgtAhJuAxea7LGKv0sPciHL4BDEYh99b4RPFvEgIm5AUKzzMogU4Li4u\nrDxip9NRs9nU2tqasSms6t27d5VOL2u6Uo6AUghYdNLbWfR+cRFxQlAltZ+Fh3uI20oEiLnixWDG\nNJ1Oa29vzx7MTZ/hHpEGn0wnYC5hJPkOIMbnfDgccGYs+PFrwOdEeXbjgeaq7VmZx1+X9JckVZ+8\n3pDUjaIIE/VI0u0nf9+W9FCSoiiahRDOnnz+1B8whPBZSZ+VliITncrNev8aOo9V8B2YFIpyuZy6\n3a5NcK94LxYL3bp1S5JsazUhWklmOSaTieklWB3Sn4lmcL3dbtcsox8o9qT4UCeW2AOgb4vFwiwt\nADgcDvXlL39Z5XLZ3Bxp6Xbdvn3bqD95KYVCQZVKRbdu3bIFg7tEaBIXBr3Ai81MPIDBLx6iMUx8\nIldYOCJYno6Ta0Gki+ffEMUhxI1ACbgCqJVKxcAFw0AZQWllsWFvvI821e12zf3g2GyCY34w5rPZ\nLFY7ZD5fPniLWikUcwJkKPS8ublpZR+Yt8wT7o/5waL3URDmAgAFK7lM3/Og4A0s7Ia+S4LLs+ge\nVwaPEMKfknQSRdGXQwg/zL8v+Wj0Dt5b/SOKPi/p85L0oQ99KPIRFRYaixFggF77zgth9UR0Oogw\nKZOfBC/yAjKZZdVzdrFSu5RFDWvo9Xqx2pdoEFgqFiqPZvQaDNSbx0byeAEmFRmsWHKsNdmXPtmM\nbMV2u20AQJHkhw8f2o7axWKh27dvG0D4reNeHKQP6WvvNvI3giCAxmT3iUwscERZSbHq8bVazRgE\nrGdvb89YDjkVgAOFjKhhUqlUdHJyon6/bwWE9vb27LpyuVysJiqsajgcWjFq9CUe3RlCsEr5ZK9K\nq+xez8IwHmS9ei2D45Ezsr6+bvOCHB2EbKJnJMV5o+FdQQwhDAUA9wzFC6h8Pml4vU6YFFOv0p4l\n2vInJP3pEMJ9LQXST2nJRBohBEBpXxJK2CNJdyTpyft1Se13ciIf++Zvj7pJ6uUXAR2LhuDRl9oX\nUFsmPOG609NTvfnmm3r11Vd1fn5uC5E9JSj3qVTK3gMgpNXzTbEC5GwUi0XdunXLFtdoNNL5+bk9\n4KjX65lFZDHCcvxeBhgR1rTRaGhjY8PqlPR6PdstDGXmWIAF/cMEg+b6fgWofJYj18Y4YO08u5JW\nj6D044VmEEWRWe9XX33V9tbs7e1ZgeRms2mMC/BGcEbvIeQKa2BPEXOGiAkuWSaTsZwPIjH+QV8A\nAfOG5/vgFrEbGaBg7MrlcowVsHjr9bqFxgElXylOUqwf/RwFRLz7AVvz3/cCNuMAI/NBB957sg7f\nyfJ7arsyeERR9JejKNqPouiu/n/y3iTEtm1Lz/vX3jvquj7FPfe+4t5XoEQPJCE73TDG6Y7ckRsS\nJLghm4Ts2LJxS+6po4YNBiF3DAmJkUVi2U4MEtgkGBUNNfyEZFnmOW9e3q1PHSfq+kSxlxtxvrm/\nNU+893TjSCjyekEQEXuvYq45xxzjH/8Yc8zkN5P8/bZt/8Mk/yDJX3hz2l9K8nfe/P133/yfN9//\n/V/Fd7x5TulAkIdDUkYcRiZkGJppZnKwWRD3xj0BNZycnGRzczMHBwclNIjLQuyfdOZklCrcNNc1\nPUjqclFehJmJc3h4WPYnAT2Rs8HnwG1Ctt73Y2dnJwcHB3n9+nX29vayuLiYhYWFjI+PZ3FxMdPT\n0xkbG8va2lr5v2massM7/A1t5xmuYFYf9DsThM+YaPyPwNauChOHkCyh7p2dnSL0Ozs7ZT/afr+f\nH/3oR2maJs+ePStEM4qJRDxKDBwfH5fv4CV6vevNoWgPJLiJZ0h03h10g6xMT09nYWEhs7Ozxb3a\n3NwsmbDIH/VJbNQwHKurq51cGrsq8CL0oYMCLCUwenCimNEJY+pphULkcF4PP7c9/lUkif2VJH+7\naZq/luSfJfndN5//bpK/1TTNp7lGHL/5q25kCGYYnaRYUed6oEwgUknDxofmbwbVLDoogL1EQB/U\nYtjf3+/UfwDqJ+lUl2KSe0k3/Alp8cPhsCCDmZmZsiVDkqI0CCvev38/r169Stteb6F4fn5e0t5R\nXiSZUTiHdjx8+LCgBlabmhsxH0AKtQXTrD1uidl9w2kUdjLakgIlw9jgunilMQV1kuTx48eF5KYs\nJH9zLXkiEN8oHdyep0+fZmZmJouLiwVVUMgH3uj169eF/GRVMmtasPo7OzsF4aJsTk9PSxFtkJjL\nRx4cHJQo0aNHjzrvsby8XDbvhlvBpaAmyE2RQ/rQCWKQ/FYWjIHngvm/Okz7LyPi8i9FebRt+w+T\n/MM3f3+e5M/ecM5Zkr/4Ls8xrMNd4HMsFYfDuQyIV1ZiMSA5yd84PDzMvXv38vTp0wJxGSggKhmk\nIAa+N8zFTz4/WlsIugAAIABJREFUP8/a2lqx7FSQYuIMh8OyRoJwHu0mCgFkB70sLy+X5ets34gr\nQc1V3IfkWlF85zvfKZaVfAYmAC5bMkrssiD6c5T1TfxITfgl3R3oaD9jt7S0VHaYb9vRBtSgPJQ6\nYVFyPFBEa2trpXIaO/jt7u6mbdtSVxYkwARF4fL/TQTwyclJqaeKLCUp8kM/EsZlgpPINxwO8/Of\n/zx/8k/+yYIskI/Z2dnOUgG7hjzfyjt5u5yEOT/62OPAZygMZJdrIZVrg/xNjzufYZp0BfomOIwA\nIPDOaMRiJunsBk+IF6vCmpTkGsa+9957JYpxdHRUdqMnxMmiK1DO7OxsZ2XmyclJDg4Ocnh4WNwf\nFNz9+/dLmjR5AQgNOQn41RCkrPMYDAYlzMmqzvX19WxsbJQwL3kKwPWHDx8WRYZg4sfb5Ui6eSeg\nAAuiFQSK2UQeBKkrX8HpkLXL+/Lug8Ggk8DFPZxzcXp6mrm5uSwuLmZubq7wTbSRRXb9fr8gjsPD\nw4Ig2cwruVYcIDImIbLFuILs4FNwg3DtGIvBYJD5+fmSMEbez9jYWL744ouyhw/yWe+tgpyimPip\nkQMROreVOWHi3pyLjakjLBgbJ/fd5rjTa1uSdDoQmAw5ZKVimEdNByaF+YJkVEF7cnKyFN0l54G6\nmOw1S44Fk5pydIPBIOvr6xkMBnn69Gnati1QuGmakgCFJUPJkXWIb22rBQyenZ3NzMxM9vb2MhgM\n8t577+X4+Dg7OzsZDocl3Zz3gchbW1sr6zBYu7O+vt4pSIPywEryPFy6JG8pExAK/9PnRiaO4Pg+\nPMtE3djYWJ4/f96ptmYFBIIg9No0TSnGxA5ojAvV4pnYVFbnN4qHhD5+MwFxZUBG9JErsCUp61Bc\n0pDMUqJdTgE4Ojoqy/nHx8fz/vvvJ7l2t8mA5d52JR0ir+UfJOz8EK5FkZofZIxQFrjO5k/uGufx\nL/UwrHJeBpEMzuE8+5ImpCzsRCe++OKLkrRzeHhYoDhrPuA0yJVwHgPuwvb2drGgVBQzAkhSyDlg\nM/umoKCYuCy4w91I0lm1CXzHzVpbW+vkSpApiWW/uLjI559/XqIwXM93tj5Ga+aZcDFQmChul//3\nRCCvgPuCxHCpqKsKh2RuhJAnXFG/3y+rfJlYvV6vuJbb29ulv9lucjAYZGFhoZQUWFtbK0iGsC6u\nE6nnrJB1zRCQHfwRLifKkIgN9Vd7vV7JDp6dnS0rmZPkyy+/zMrKSskupS+9RQTkOpPZCXcgbdCD\neTeCAD7s+sC9JSlIl6iVNwO/zXGnlYdDgCbszOw7BJiM6mMmI2bZ59GxIA64DqIgpKkjSN57BWHv\n9/slX4P7IpC7u7slXRnryKSDVWeyUMiY89i4ifodRhdYCrJAseTsLXN5eVmqu8/Pz+fp06dZWVkp\n+QzJCHGBOlwvE0Vg1wRY7udbwBkbo0KH1a18WLDHNgsgFBLe9vf3s7CwkIWFhaKMsPK4gyh9NreG\nJ1pcXMzq6mpnIynyOhyJcA1YkuPIRiXq5IV9tJsQK7lB8FheY0JfMsabm5uF1+j3r+vj4tqCLmq+\nA4WA0bNiYbydiWqDWIdgnW9TG06MxbugjuSOKw93hsOtTrqqBdqZjZeXl4WgYhJfXFxkc3OzWNqL\ni4sCndv2ul4GmzFh4ZeXl/PFF18UWIsFgICan58v2atkJQJ7iX5Qz5KixSghBAfksra2VpTH8vJy\nWf2LBXHuAMlouDLT09N57733sr29XdLs2WBqbm6uQ3biynjrhjpqAjpJRou0EGRbQRNvDpXzv7OA\nEWgm0fr6epKUNSikpWMtqYxG+r2jVB9//HF6vV6ePXtWkApolD1q2rYtCyG5H8mB8CwPHjworgwr\nbyHSQZXck4QzkvZ4F1wKR+JABaCvzz//PD/+8Y9LP1AKAoVrJYKMe+kFY887Os+Dfqb/Ce9iuFDY\noCiHbG973GnlwWFNXIdvnTyGcDMAFM1xyjMV0bFAdCouyvb2docUXFtby+7ubtbW1krlKgYJYcIf\n9grXmZmZQsoSWsOSzs/Pl8QyBIFQKe7A5ORkKavHJCejsd/vl9qYuDEkKF1cXG8fOTMzk93d3ZLK\nbTLWFg2+BQG15TPHxDV8T/+AYFAyoAaud8Fh9lhJUsoXUKSnbduymM0FibxFAAvoxsfHs7u7W6JV\nkJK4BGR3slcOafqumcLvubm5gkImJyc7dTfGx8ezv79fSiYyqUF+THrq1cK14WKx8hmlcnp6mhcv\nXuQHP/hBUZCsi7JSoF/pA57l0LTPpb9dcJrwM+Pk9pv8/ta6LUkXfdDBjoPzOZ3jA2XD783NzSIo\nTEgmApB3amqq1CC9urrK06dPy72wFIT7ECTqly4vLxcF5ggJUJ33gftYWloq6ei0hclJ1XAQEaUS\nCfchWCsrK2VhX9teJyp5iT/1OUFYWGeUpYXLkx7kVYdl+dz9i3VlHGwpDdFRUq4KNjU1VdaDMGmZ\neP1+P5ubm5mZmSlKgGcmKSiE4kZEueCYCO9CwPJ+3uiZJf2E3Z3fQf+S68PSBfJjXIQZpeWIFm7m\n/Px8MRy4bg7118mOjAefY4B81Hk4Jq85auLULj/Htxp5wF+Y+XZimBWGiVMsMtCMvIhkFDGAwANy\ngk48MMPh9bqQZ8+eFaHe29srYdS5ubnMz893qlfVmwaRr0DYEmuF9by8vC5Vt7S0VEKKvC8ZjhCK\nTdPk/fffL1EcUBSVxoDVVJNCcCBKmfgOpdJW80fmNZzsxv3oR6NAxob7+Tuuxe3Z3d0ta3uSlEkH\negKJPXr0qETLzNNwTb/f3ZDJEQiUDaUGyJUBxVAKkeQ9+pdEPRIGUXD3798v16BMcDXGx8c7++CQ\n0Ytc4JaBPpaWlkqf4Fqb9AfNejkCriPIgjHDjQQxQzobLTrnA2Vnt+c2x51WHoZydWzbyTIOXdHh\njgYw0FzHXhwuwweJxrWsXxkOr4v+MIHbdlRrlPTwnZ2dYinPz89LghEhOwSXCU0OBm4FaGJra6sI\nycbGRnF/aCNhV7YVcP4A7g1tRhj5jlAwRGwNi70qGfIYy2XUwvNAV3Xoto7AOLXaxN7q6mqOjo6K\nNZ6bmyvbQh4dHeXx48f56KOPkozWwuzs7BQe4OnTpxkfH8/Tp08LjMcAQKjOz89ne3u7uLLch5yJ\n5NqVIvmM6yGiHe0BxbhO7Pr6enEt//AP/7CgPOQCJW7DBOeyu7tb+J5kZMjsEtr42WCCvm3gTJyi\neHgXR7+YL3ZLb3vcaeWRvL3Rtck0H7aUrlTetm1J1II3MElpGI7AY4XGx8ezsrJSVmYOh8OyxJqo\nB0oKwo3j6Ogoi4uLBUZj3ViMR/k9Dlcp6/f7+eqrrwqvArfz4MGDEkYkcjAxMVE2w0ZhsIl3co0O\nlpeXMz8/X3gXLDdtT9KZgGQgmiR13gxuG7/x6a3IQH5GKkxCJircBe2iLgcRLsK6Z2dnefHiRdnu\nc2NjI4PBIJubmxkfH8+LFy9K5bexsbFi9b/88ssyZm3bFleBAktkoSJb/I3CYHU140VI30Q1RunR\no0dvRakuL6835aYPmOj9fv+twkDmjVAYdtVBZHW+jdGklQVul8PrKHsj9ndBH3deeSTdRJn6czQs\ng2MhxkoxAR0RSFJKAJKxCR8wNzdXLDFZqaAGJtJgMMji4mJZk4KSgmTr9Xp59epVibjs7e1laWmp\nkK8kljXNdeo0CWE8jwm1t7dXQorkfDx8+PCtUNyTJ08KoYiQ7O/vZ2VlpdQzBT3xPStyHQankJEF\nFQSDAuFvw+kkHbfJUQbD7yQF1RFJYO3Q8fFxDg8PC1rA3cB1g1CF59jY2Cj1YYk2XF1dFSTIhEdR\nsdoYV4clChCc5KWAVHBhMTqgShQNz4R8nZ+fL64JEb2JiYns7u5mbm6uIEWQAQYGJOOQLArASMGI\noZ78zvQlqdFoq3YrPba3Pe688nAKbR11oXPdMYTk+P/o6KgMNgQegoCQEI2A8GyapkxUCEiYcXxY\n7ot2J0Li7QmBmkw44CzbRlKBezAY5Cc/+UlZYYoSAjojlLRxOByW3I3V1dUO+767u5skb92fJDdY\n+MFgUO5PtMPWDsvF5HfUxPDeeRFcR1uc9YjSJWLkZfsk3VHWALdrYWGhrB4misEEmp6ezv379/P1\n11+n3++XVcok2OGWEiYmCQ954Tt4qrOzs6ytrWViYqJksbKwknAsq5ZBjDs7O4WYhutgsv7gBz8o\nSIV0eAo+kbtycHBQMmcZU9xO+hc326Qnfe4IirN0CS+DxhhDiGIME4b3tsedVx4cDLonZTLSoMlo\nJ3CEFncC7Wxm2hb04cOHOT8/L8vVsWBte126b3d3t4TBmIyXl5fF1WiaUTYiiUtNc738HasEMTY2\nNlagLr75+fl5/uiP/qhwEIuLiyVC4pW7hP5wkVhNSxiQbROPj49LijtCwv3cZ7Tde42gkCHXzGnU\nHAf9hzL3j5V8kmIRQS+MAZtstW2btbW17O3tZXt7O8vLy52qa0tLSzk8PMz8/HyJRj1//rxwD0wa\nuCV4GUpBktFLpujMzEwpKkQfz87OllqmoDQUS5JCcL98+TKzs7PFxaGvkAvcXIovGWmhwCBRQUd1\nMhdKPklBcHYDUfKMVR0owD1nDCHrzUk5Ue02x51XHnZB0LD2DZlwhs9cAwyng6kkhfB6orMuhYlk\npURCFULEwMzMzGRnZ6cU+CGiQnr79PR0KcYzOzubly9flqgCfjWWCwWE0DqtGMuLi+Ud2Le3twuh\nyfcoCtdWtW97cnJSsh/tDqJ8ESysUo3wGIMaWpucA4ZbQO1SEmmoMy5BFSwkTFKU9sOHD8tq235/\ntEZlfHw8H3zwQZ4/f14mEvkipJ9fXFyU3BjCpYS4cR2Hw2ExIPQZtUdYMs9aGtAnO9lBRFPrFMVF\ntTIiY9yXyU9Cn6NMpNHTt46Y8Ju5gLG0Mun1eqWYFJ95JTCyDBK57XHnlYetGMRQnd/B92h1Ep8o\nN0fYjToS/X6/M3mYzCyxdqFaVtSy+xuTlFAp20bCWXBP18ekkhVKBB+brElCuwgkbgL8B74ymaIo\nEkKxybXV/PzzzzsuGjwLrhpEIhMFxcZBJutNKet8z5ig8HAjnKtg/5vDyod+4t28t82f+BN/Ii9f\nviy5GSiIfr9fkAPlCFlzhIuxvr6ex48fl3C408OJpnms6RcUIcbDW3BOT09na2urII22bUvVMfgL\nkB57zrCfTJLC2+BCbG5udiIjjCFuJImGJnKN4FAa9Xn0O0h2MBgUTo9nGbXb2N72uPNL8g3jEEZe\n2lqTCWcryGS/uroqWwySbs5EIJJBCJR71bFxNmYiCsCCqZcvX5boBtERb58AgZiMICWVxCHuGOD5\n+fmSWUool6XsTISrq6tsbGyU4jJkNYKYgPWTk5Pl2pcvX5aanxBy9CfFiejPGukhkPQX13OuXRAT\nqSA3+sAE3XA4KncIlzAzM1PGaGxsLM+ePcvFxUXZ0Ao3cGlpqWzG9erVq7IYEZJ7eXm5KDTGiqgK\npQeRo7GxsbI3DjIzOztblhq8fv06X375ZSFVr66uyqpoCgnBG71+/TrPnj3ruEHuF4jY73znO1la\nWioT+vx8tH8MMsMGV8imuSgjDPrTygjZvbi4yNHRUfb398uGVy4BUS+mu81xp5FHnR+AUCC4nGPr\n6NCWtTKQEpjMea7rQYdCpI2NjZVVs8moXN3l5fUWhJBkJkvxX4G5rlCFBQSy41qgODio9I7gQCIS\nyYGkJSENhJWk5EKQ8YoSJJUezgYY65KJntReZZukoxDoZ5NtdnNwe4DQFlSPHxPLu8Lt7Oxkd3e3\nRI0oAwm/QLFq+CNcDY85yMLkKNEvuA7Cu+w+ZzKXvXfYnwdDdHBw0CleTBg2uUZT7KsD58bCR3gQ\nFBIZp0dHR+n1eiUFn3cgp8RKnL5MupEVh8FxYWgTBgW5BCGSRMbPbY87rTySm7e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eVOv/jdGRv6zu6jkRyfmST1d7c5/lgojzrEBDSDhTf0MjpgIqAkIDCxWFdXV2VfDnIqkpG/DtlI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\n9CQNeDTSSCM9SQMejTTSSE/yfz8cHJcEJWQSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bff84eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_tensor_image(images[1], title=label_string[1])\n",
    "print('name: '+names[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 1, 1024, 1024])\n",
      "torch.Size([2, 8])\n"
     ]
    }
   ],
   "source": [
    "print(images.shape)\n",
    "print(labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[[ 0.3844,  0.3766,  0.3844,  ...,  0.4119,  0.4589,  0.1217],\n",
      "          [ 0.3687,  0.3570,  0.3648,  ...,  0.3884,  0.4354,  0.1217],\n",
      "          [ 0.3413,  0.3452,  0.3531,  ...,  0.3687,  0.4197,  0.1099],\n",
      "          ...,\n",
      "          [-0.5018, -0.5018, -0.5018,  ..., -0.5058, -0.5058, -0.5058],\n",
      "          [-0.5018, -0.5018, -0.5018,  ..., -0.5058, -0.5018, -0.5058],\n",
      "          [-0.5018, -0.5018, -0.5018,  ..., -0.5058, -0.5018, -0.5058]]],\n",
      "\n",
      "\n",
      "        [[[-0.3528, -0.3528, -0.3567,  ..., -0.3371, -0.3214, -0.2979],\n",
      "          [-0.3371, -0.3371, -0.3371,  ..., -0.3254, -0.3175, -0.3018],\n",
      "          [-0.3371, -0.3411, -0.3411,  ..., -0.3293, -0.3175, -0.3018],\n",
      "          ...,\n",
      "          [ 0.3648,  0.3609,  0.3648,  ...,  0.3805,  0.3805,  0.3844],\n",
      "          [ 0.3609,  0.3609,  0.3609,  ...,  0.3805,  0.3844,  0.3805],\n",
      "          [ 0.3648,  0.3648,  0.3609,  ...,  0.3805,  0.3805,  0.3805]]]])\n",
      "tensor([[ 1,  0,  1,  1,  0,  0,  0,  0],\n",
      "        [ 0,  0,  0,  0,  0,  0,  0,  0]])\n",
      "('00000631_008.png', '00002198_000.png')\n"
     ]
    }
   ],
   "source": [
    "print(images)\n",
    "print(labels)\n",
    "print(names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Atelectasis' 'Cardiomegaly' 'Effusion' 'Infiltration' 'Mass' 'Nodule'\n",
      " 'Pneumonia' 'Pneumothorax']\n",
      "train: 7571\n",
      "val: 1081\n",
      "test: 2559\n"
     ]
    }
   ],
   "source": [
    "datasets = {x: CXRDataset('dataset', dataset_type=x, transform=trans) for x in ['train', 'val', 'test']}\n",
    "print(dataset.classes)\n",
    "for x in ['train', 'val', 'test']:\n",
    "    print('%s: %d'%(x, len(datasets[x])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BBox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 8, 512, 512])\n",
      "torch.Size([1, 8])\n"
     ]
    }
   ],
   "source": [
    "trans = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize([0.50576189, 0.50576189, 0.50576189], [1., 1., 1.])\n",
    "])\n",
    "dataset_bbox_only = CXRDataset_BBox_only('dataset', transform=trans)\n",
    "dataloader_bbox_only = DataLoader(dataset_bbox_only, batch_size=1, shuffle=True, num_workers=4)\n",
    "images, labels, names, bboxes, bbox_valids = next(iter(dataloader_bbox_only))\n",
    "print(bboxes.shape)\n",
    "print(bbox_valids.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tQ7UgNebs/Py8KQD3s2avIlDwuVxcXDwaMfyoPoavwux93/+g67oP31z/epJf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3BdOausgtD2ZFVCjWWWQceuG64atDfMjmnK+1Bh/Un4n8pfdYSsv/Kwy1CS73c3hFEhBF6XGX96\n6slk/tLhzKlQftSPHOpk6Eo0N2YM2Y6UqculoajqohEZW27Pb/7Oe5KfdSc4nRnDUAmIrwdzBtpr\n5bl7jxsvDQOXaueklrTKrsfEdfYuk9Awvf2y77zvMu+eimiZVGUrj8160lDlsQr6UzmZ5My8DL8r\niJ585nU+XuVpfG9/s5NQllUS0Xw6nKiMePIuDducxiN5TMdQ5b2qVcBZT4U+KvlQBonWsu1WpTMT\nShAeJVx1h79z506/2CQ9EOGWhU/LzVljVcfjNdLiYqCqUavGT+9GxU0ag5l5nvXmueyQPsYOv+z+\ny1BCjtawQyYkr54ny1b3r+STRt7H7GG9YpFtnBuvcA8H8rGzszN4wxbRiTR8S1clwzyWhn5ZO47p\nHeVYoTk/Dzd24aS0dFKr0JlBDB//+Mf7xjfU4iaY58+f1wsvvDAIOSgkz1ZLL2ykwY1OsmEr9FB5\nNxMNxNg8iTQw1X3YqRJy8jv5SZ7SG1OJx5JX1XX8Tg9ZGaaxOtPQ8diY/NNLVs/j620IiCQ4T6BC\nUVwBSafC0SGiEpfLMIVtQ2TF5Hne2+Wz7iyTDrFCGkREaUjWoTNjGEx+QMbIt27d6ndi4hZZtvpe\nFOX/jEWdoXa9+baqvK/P5bcNkLT4NqjK86ehyLoTOpMqzzumBAlL81wqX+X5q86a3pB1VsnLZcrJ\n+J31sDO6PSovn0bDH09qG5NFlUvIJdKV4c+26LquHxWzMRnr+ImQEs0x/5N8+/fYaFnytM5zJJ2Z\nUEKaCoEvhWltOrddmj/4jRs3dP/99/ednZtVdF2n559/XgcHB0uVyiiC9Y55Q3YSG5w0BmPeuqor\n+aq8BssQKhJh8N5381RjHZbyyGehTNJTukxlrKjI1TBalZSrkoIuU3USwn3mALK9c99KJyw9+7HK\nbVD+1fOPrVeh7BkeVQgsea/aJZ1SjqJRJ3OYdBU6U4jBDUdhmjwPXtLAKOzuzt9QlXMh/HowU9UI\n6R1dLiEsrTz3e6DSjMXaPJbKm/E3Pc4YzGdZ3z+hbAXfXY68Ja/ptSmPqjwNQXp/ls8hNl5fJVbp\nFflsLsfkM3mkh6/45jPy2spr83+GhPk8lRGsEBh/V3mIrJf1G63k82Rdq9CZMgzS4uo8IwIr3Ysv\nvrjQ4JzN6GtoRekx6PnZWC5XKbU03ETGNJall2rvW3XWvDY7SXamChGkEVum6JUCVZ5yDPXwuSnb\n5C3jZF7n+SQ5A9X/eS4NQxpr/ydqZPtlG+fuTMljjn4kOkwU4M8YKquMdd4vhxqZN6mcDK9hAnwd\nOnOhBGElYZPP01tL9dCOh6lcj6nrhq914/r67Fz+Ty+YsC6hPq9jRyeNHc+OnN+VF2F9CeF9j1Ta\nVNQ0gpVxSwPBz1h5enMnktPw8H7cZ4C8Eqmxs+aGJ25DGxR618lk0iPOaln2MhheIbLsiIkGXD6d\nHD17Gl5OUvL1uZdklZRMfViVzhRi+NjHPtb/5hJZC2x3d7df+tpaG+wBaejo49evXy/hVuXhs7Hd\neJmZd1kqgHkca6B8Bv6msWF517PMeORx8lPlIRKOp2dNw1N5f46jV8N5lUEwAqh4yd9pwHg8DYfX\nLBAZcqUln5Me2c7A75r081XG2M8wJn8aAQ6VUmaJ8KgPeV/KtbpnGk22Vd7nbnSmDIOkgcVPCMhN\nML2ffhUy8F2X0mLGPjsC4zYqH3f1NWVnyA6cnsP3MKWXynIVapGGi7JI5CWTeFku6xw7X3V45g6y\nI1cyspHI/QbS2KZxTNnk3BMiDq6TSIOWRtCU+aFlnYpopQrB0rjliErep3IaVTvlc6YjyjrWzS9I\nZyyUkIZJGA4zdd00l3Du3Ll+WnS+bIMZakk9fHW5CiHYcnMeRGvz9xvmUF7V2atE1pgXNCWkrAxC\nBUmrMu6EaYAS5ZAH8sjEWioj26OqOw3uWCehh2THZyzteyfcT6NIr7q3t9e/9yFzA8kvhwptWHZ2\n5svPiYzIc0UpJ1LKJPXN16dOmAeWyUl7vH9V36p05gyDyYpebZN9/vz5wQ7SJnfwmzdvlmPtpOx0\nVojJZDJIZLFRTSxfeViXyWvzHD3GGOzkPTLe5HMvg7ysz+eTVxI7RPK1zCjk8+T1iUDMe5Zznfn+\n0TTKrc2HLtlmHIrmVGJuD+hOl5A+ZU/55v1pqCy3lG3Wm44izyeiYu4hZZuJ0nXozIUSKezW5tvI\n+7wb886dO/2e/Q4dvM25r5U0WGrtj5NVKXQrDxuISGLM+tuzjUHTMQ9OPvnMphwBcDnfz8crvujt\nK8hK3isDVpXL8xXKoEF3+bHRELcb1ykYNfA5aUjZ4Y0Y/OqAvb09HRwc6Pz58wuzGimDyWTSv46O\nb5Su+K3QFonoxeezvjGZjpWpjGjq4LLc1t1oJcPQWvtma+0PWmtfaa19cXbswdbaZ1prfzT7fmB2\nvLXW/n1r7enW2u+31t68Fkd3Ib4NmDs3U/no0fiqcYcNTixZeDQAVWNY+JUiUQnNS9VZyWfeh/dj\nWdbn35X3Sn4rReN17ASsk89W8ZT8EQ2REuZL9aYm7rg0EqyXYeKYZ81whDJzO9hz5toVv7CF+3ym\nXJgMzvvms9Dwst0pg5R1Ja+8B2XDOqmHlXHk/2UjKxWtgxj+atd1P9J13Vtm/98n6bNd171R0mdn\n/yXpb0l64+zzXkm/vBZHdyGPcXO4RpovIvFvC9ozJZko8qvDaGSIEqRhjEbDwkw1r00vTKPC/y6T\nHS4Ri42W72XKRmcdiSjSKFXKUaGXqiPy3olA8pq8Nsfb89pEOCm/rNtlc/u6DKtyBiTXTvheXFNB\nT+vrXZ9XYS4zhtSJVdqkklWeS4SZxyjX3JSGtG4C8uWEEj8t6SOz3x+R9Hdw/Fe7Kf1PSUettUde\nxn0GxAenknH4kqEFV+EZkpqy0fJaGpr01mOhQ3o8KprLVOPX5iOVdqws41USjy1DAqzL16WBSt6q\nju9rqvu4HoZxfG8DnzUNMkMF1uvnphceM8rWCxoSbuVevW2MPBFNplFIwz9GdzMEKWc+Q7ZDypp6\nQd3MkZplxmeMVjUMnaT/3lr7UmvtvbNjP9h13bMzpp+V9KrZ8ddI+hNc+8zs2IBaa+9trX2xzUKT\nVSkXuXjjTisNp0O7o1uICbekIay2QlTvDEjvb6rieX+z0dLTjzVWNZ8g5Db4Th5NFQxN4+JOUMnj\nbkZkmVFhh+IMRR8jyqKnpUx9PEeM2F6JwtiJXdbn6AT29va0v7/fGwk+C/f0tE7xWSod4P/s2Nlm\nY3LjM7A9xto0R2qoXzaC627OQlrVMLy167o3axom/OPW2k8sKVtp/IJZ7bruQ13XvaWbhyYr0RNP\nPKFbt2713oebtFSNwnf6WSkIK9Oq+tv1ctEWFdxIgMp4N2XhseqbClx5ompIKr0Xz9PL5f/KMPFc\nJk6XlSdxKC87k+vjcc5Cre7DDl2NVPA/5SkN3/PotjdqcHKasuEeDEQpli31jiFmdX920iocSN2o\n2rsy+JQLdZDHiHwYKq1DKw1Xdl33rdn3ldbaE5J+VNKfttYe6bru2TYNFa7Mij8j6XW4/LWSvrUW\nV3chQ6UcXnrppZd04cKFhUQbh6deeuklHRwc6IUXXujrSyjp66TFISYak8xk8zqWW+Y56DV5P1Oi\nDIYiPM9PhiuZYHWHJJ+V8ao8rv+Tkl+GTf6f/NCApLFKY24EmDkdd0x2VPLidTRsL9flun2v9NT5\n/Mwx+X5jyWjKtUq6+toKhVXOKtuZepI6xXvwd2V4ltFdzUhr7f7W2qF/S/obkr4m6ZOS3j0r9m5J\nT85+f1LS329T+jFJx90s5PhekR+U8+sdxzqxSGMx5mESglHo2VHTwjOkSa/Keiu4lw2VEJNEY5WG\nxudNqYjms+uGw69V5836sgMmyqiMnOsjP+kRKYscReAoE+tIsmFj23C+SvKa9zIfXGuQ/KZBJ29V\nO/I7wyJ+u75KdyoDkmigkkVFY0nQVWkVxPCDkp6Y3WRP0q91XfebrbXflfQbrbX3SPq/kn5mVv6/\nSXpU0tOSnpf0D9biaAWyJ5Dmirizs9MbCm5xRWH6mKEVrT6VIA2Jl2/7WHb0ylOkJ6eh8X3G4GUq\nQBWmmJdMiNIrV6EEr6uQTOZcsgzvvcyYsdPm3hY0cGkEbJQN9atOQ/n5WZhnStkuy0vkNu82pBUa\nZGdNw0nelsms+p+GN3WE53xNbuVW3XPdIcrBs64LMV4Jaq1dl/SN0+ZjRfoBSd8+bSZWoLPCp3R2\neD0rfEo1r3+u67qHV7l4U6ZEf6NbMwl5WtRa++JZ4PWs8CmdHV7PCp/Sy+f1zE2J3tKWtvTK09Yw\nbGlLW1qgTTEMHzptBtags8LrWeFTOju8nhU+pZfJ60YkH7e0pS1tFm0KYtjSlra0QXTqhqG19jdb\na99o02Xa77v7Fa8oL/+ptXaltfY1HDuV5eUr8Pq61tpvt9a+3lr7w9baz20iv621862132mtfXXG\n57+aHf+h1toXZnz+emvt3Oz4/uz/07Pzr78XfILf3dbal1trn9pwPr/ZXsmtEHKSzr38SNqV9MeS\n3iDpnKSvSvrhU+TnJyS9WdLXcOzfSnrf7Pf7JP3i7Pejkp7SdG3Ij0n6wj3m9RFJb579PpT0vyX9\n8KbxO7vfxdnv+yR9YXb/35D0ztnxX5H0D2e//5GkX5n9fqekX7/Hcv15Sb8m6VOz/5vK5zcl/UAc\n+561/T17kJGH+3FJv4X/75f0/lPm6fVhGL4h6ZHZ70c0nXMhSR+U9HercqfE95OS/vom8yvpQNLv\nSfrLmk6+2Us9kPRbkn589ntvVq7dI/5eq+neIj8p6VOzjrRxfM7uWRmG71nbn3YosdIS7VOml7W8\n/F7QDMb+RU298cbxO4PnX9F0od1nNEWJV7uuu13w0vM5O38s6aF7waekD0j6BUmeS/zQhvIpvQJb\nIZBOe+bjSku0N5Q2gvfW2kVJ/0XSP+m67lq1psJFi2P3hN+u6+5I+pHW2pGkJyS9aQkvp8Jna+0x\nSVe6rvtSa+1tK/By2u3/1q7rvtVae5Wkz7TW/teSsmvzetqI4RVfov09oD9tsx2o2j1eXn43aq3d\np6lR+M9d1/3X2eGN5bfruquSPq9pnHvUWrNjIi89n7PzlyX92T1g762Sfqq19k1Jj2saTnxgA/mU\nNNwKQVNj22+FMOPpZbX9aRuG35X0xlnm95ymSZxPnjJPSae2vHwZtSk0+LCkr3dd9+82ld/W2sMz\npKDW2gVJf03S1yX9tqS3j/Bp/t8u6XPdLDB+Janruvd3Xffaruter6kefq7rup/dND6le7QVwr1M\nPo0kUR7VNKP+x5L++Snz8jFJz0q6pamVfY+mceNnJf3R7PvBWdkm6T/O+P4DSW+5x7z+FU3h4O9L\n+srs8+im8SvpL0j68ozPr0n6F7Pjb5D0O5ouz/+4pP3Z8fOz/0/Pzr/hFPTgbZqPSmwcnzOevjr7\n/KH7zfey7bczH7e0pS0t0GmHElva0pY2kLaGYUtb2tICbQ3Dlra0pQXaGoYtbWlLC7Q1DFva0pYW\naGsYtrSlLS3Q1jBsaUtbWqCtYdjSlra0QP8f921FvJV7VHwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe3125fe9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_tensor_image(images[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bbox_valid :[ 0.  1.  1.  1.  1.  1.  1.  1.]\n",
      "labels :[1 0 0 0 0 1 0 0]\n",
      "00026769_010.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2c33f4c88>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe3130dcc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('bbox_valid :'+str(bbox_valids[0].numpy()))\n",
    "print('labels :'+str(labels[0].numpy()))\n",
    "print(names[0])\n",
    "plt.imshow(bboxes[0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf767e48>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf7e0860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf7477b8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf789828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf6a8320>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf6e77f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf67cd68>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf6baa58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf5dc6a0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5wFcZ3J7/z8CGVj+lLc+39edM4e/B6/n5uxIz12fr6e72uG/x3804f/Ze+SipM+1DCUkz\nyGCQ1DEYJHUMBkkdg0FSx2CQ1DEYJHUMBkmd/wc7KMNP0XOWIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf61dba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf5bd128>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf636da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe2bf512b70>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2bf551898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(bboxes[0][7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
